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<p>The genetic diversity of brinjal genotypes holds the key to greater resilience under increasingly unpredictable weather conditions. A field experiment was conducted to identify suitable genotypes for each environment to access climate-resilient genotypes to be planted under central Indian conditions. Nine brinjal genotypes were evaluated under three environments depicting three years, 2017–18, 1018–19, and 2019–20, and they were laid in a randomized complete block design to evaluate adaptability and stability. The well-graded, large, dark-colored fruits were selected, and they were then analysed using the AMMI (additive main effect and multiplicative interaction) model and the GGE (genotype plus genotype by environment) biplot. The principal component axes (IPCA 1) contributed 93.1% genotype x environment variation for days to first fruit maturity. The IVBL-25 genotype was relatively stable, with its mean value above the grand mean as per AMMI model. Similarly, NDB White-1 and Kashitaru were identified as stable genotypes at maturity under one environment. The DBL-60, DBL-17, and PBL-235 genotypes were stable under different environments using GGE biplot analysis. Cultivar-superiority measure, AMMI model, and GGE biplots were useful in assessing brinjal genotypes’ stability and adaptation under various environmental situations.</p>

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Adaptability and stability analyses of long brinjal genotypes using AMMI model and genotype-by-environment (GGE)-biplot techniques

  • 期刊论文

  • 发表日期：

    2025年3月22日

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  • Kanchan S. Bhan,
  • Shweta Tiwari,
  • Manish Bhan

摘要

The genetic diversity of brinjal genotypes holds the key to greater resilience under increasingly unpredictable weather conditions. A field experiment was conducted to identify suitable genotypes for each environment to access climate-resilient genotypes to be planted under central Indian conditions. Nine brinjal genotypes were evaluated under three environments depicting three years, 2017–18, 1018–19, and 2019–20, and they were laid in a randomized complete block design to evaluate adaptability and stability. The well-graded, large, dark-colored fruits were selected, and they were then analysed using the AMMI (additive main effect and multiplicative interaction) model and the GGE (genotype plus genotype by environment) biplot. The principal component axes (IPCA 1) contributed 93.1% genotype x environment variation for days to first fruit maturity. The IVBL-25 genotype was relatively stable, with its mean value above the grand mean as per AMMI model. Similarly, NDB White-1 and Kashitaru were identified as stable genotypes at maturity under one environment. The DBL-60, DBL-17, and PBL-235 genotypes were stable under different environments using GGE biplot analysis. Cultivar-superiority measure, AMMI model, and GGE biplots were useful in assessing brinjal genotypes’ stability and adaptation under various environmental situations.